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Read about the technology powering our platform. From the development of powerful ML models to Search Engine, and Kubernetes deployment. Great reading for the geeks during long winter nights. Read more in Developers.
An overview and analysis of serving systems and deployment methods for Machine Learning and AI models.
Let’s take a closer look at the technology behind visual search and the key components of visual search engines.
A comprehensive tutorial for converting a .mp4 .mkv or .mov videos to the streaming formats (HLS or DASH) with Python and FFmpeg.
With the AI Explainability in Ximilar App, you can see which parts of your images are the most important to your image recognition models.
We developed a computer vision system for object detection, counting, and tracking on Nvidia Jetson Nano.
Flows is a service for combining machine learning models for image recognition, object detection and other AI services into API.
A step-by-step guide for using image similarity as a service. Find similar items with accurate & fast API for Image Search.
Tips and tricks for developing and improving your custom image recognition models and deploying them as API with the Ximilar platform.
Tutorial for optimizing your image recognition models with OpenVINO technology. Making your system faster with Intel CPUs.
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